The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "15792390 (up from 15511157 yesterday: 1.81 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "639652 (up from 633396 yesterday: 0.99 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4717512

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.05



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4112531 73783 1.83 1318378 145546 1242 0.86 3.54
Brazil 2343366 55891 2.44 804285 85238 1156 1.37 3.64
India 1337024 48916 3.80 688709 31358 757 2.47 2.35
Russia 799499 5779 0.73 132558 13026 153 1.19 1.63
South Africa 421996 13944 3.42 244872 6343 250 4.10 1.50
Mexico 378285 7573 2.04 133034 42645 737 1.76 11.27
Peru 375961 4865 1.31 80362 17843 189 1.07 4.75
Chile 341304 2545 0.75 53215 8914 76 0.86 2.61
United Kingdom 299500 769 0.26 13713 45762 123 0.27 15.28
Iran 286523 2489 0.88 51094 15289 215 1.43 5.34
Spain 272421 2255 0.83 21876 28432 3 0.01 10.44
Pakistan 271887 1487 0.55 49991 5787 24 0.42 2.13
Saudi Arabia 262772 2378 0.91 60971 2672 37 1.40 1.02
Italy 245590 252 0.10 4406 35097 5 0.01 14.29
Colombia 233541 7168 3.17 127149 7975 287 3.73 3.41
Turkey 224252 937 0.42 20796 5580 17 0.31 2.49
Bangladesh 218658 2548 1.18 62267 2836 35 1.25 1.30
France 217797 1130 0.52 13575 30195 10 0.03 13.86
Germany 205623 742 0.36 8843 9120 10 0.11 4.44
Argentina 153520 5493 3.71 80734 2807 105 3.89 1.83
Canada 115115 717 0.63 8153 8923 4 0.04 7.75
Qatar 108638 394 0.36 9985 164 0 0.00 0.15
Iraq 104711 2485 2.43 48691 4212 90 2.18 4.02
Indonesia 95418 1761 1.88 34723 4665 89 1.94 4.89
Egypt 91072 659 0.73 18361 4518 38 0.85 4.96
China 86202 157 0.18 1364 4650 1 0.02 5.39
Kazakhstan 80226 1740 2.22 34507 585 0 0.00 0.73
Ecuador 79049 901 1.15 18392 5468 29 0.53 6.92
Sweden 78997 234 0.30 7578 5697 21 0.37 7.21
Philippines 76444 2054 2.76 36108 1879 8 0.43 2.46
Oman 73791 1145 1.58 29862 359 4 1.13 0.49
Belarus 66846 158 0.24 3849 524 5 0.96 0.78
Bolivia 66456 1204 1.85 29638 2473 66 2.74 3.72
Belgium 65199 352 0.54 3472 9817 5 0.05 15.06
Ukraine 64173 1004 1.59 16468 1591 21 1.34 2.48
Kuwait 62625 753 1.22 13953 425 4 0.95 0.68
Israel 59475 1493 2.57 31420 448 6 1.36 0.75
Dominican Republic 59077 1462 2.54 23929 1036 30 2.98 1.75
United Arab Emirates 58249 261 0.45 8108 343 1 0.29 0.59
Panama 57993 1176 2.07 21998 1250 41 3.39 2.16
Netherlands 52837 197 0.37 2291 6158 0 0.00 11.65
Portugal 49692 313 0.63 6536 1712 7 0.41 3.45
Singapore 49375 277 0.56 4896 27 0 0.00 0.05
Guatemala 43283 1091 2.59 21990 1669 37 2.27 3.86
Romania 42394 1119 2.71 14228 2150 24 1.13 5.07
Poland 42038 458 1.10 6633 1655 4 0.24 3.94
Nigeria 39539 591 1.52 11975 845 12 1.44 2.14
Bahrain 38458 462 1.22 10048 136 2 1.49 0.35
Honduras 37559 657 1.78 15443 1061 50 4.95 2.82
Armenia 36613 451 1.25 9293 692 4 0.58 1.89
Afghanistan 35981 53 0.15 3657 1225 14 1.16 3.40
Switzerland 34154 154 0.45 2053 1977 2 0.10 5.79
Kyrgyzstan 31247 0 0.00 24369 1211 0 0.00 3.88
Ghana 31057 1385 4.67 11669 161 8 5.23 0.52
Azerbaijan 29312 332 1.15 10045 400 9 2.30 1.36
Japan 28883 769 2.74 9698 994 2 0.20 3.44
Algeria 26159 675 2.65 11089 1136 12 1.07 4.34
Ireland 25845 19 0.07 347 1763 0 0.00 6.82
Serbia 22852 409 1.82 7348 518 10 1.97 2.27
Moldova 22483 378 1.71 5038 726 7 0.97 3.23
Austria 20214 115 0.57 2164 711 0 0.00 3.52
Uzbekistan 19360 374 1.97 9964 106 3 2.91 0.55
Morocco 18834 570 3.12 5546 299 7 2.40 1.59
Nepal 18374 133 0.73 3115 44 1 2.33 0.24
Cameroon 16708 186 1.13 4116 385 3 0.79 2.30
Kenya 16268 667 4.28 9080 274 11 4.18 1.68
Cote d’Ivoire 15253 252 1.68 5009 94 1 1.08 0.62
Czechia 15081 281 1.90 2762 369 4 1.10 2.45
Venezuela 14263 650 4.77 7726 134 5 3.88 0.94
Korea, South 14092 113 0.81 1062 298 0 0.00 2.11
Australia 13950 355 2.61 5690 145 6 4.32 1.04
El Salvador 13792 415 3.10 6525 379 7 1.88 2.75
Costa Rica 13669 540 4.11 9358 87 7 8.75 0.64
Denmark 13642 48 0.35 610 613 1 0.16 4.49
Ethiopia 12693 760 6.37 6847 200 3 1.52 1.58
Sudan 11302 65 0.58 1639 715 7 0.99 6.33
Bulgaria 10123 270 2.74 4626 337 8 2.43 3.33
West Bank and Gaza 10093 349 3.58 6759 70 3 4.48 0.69

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 440185 9412 2.18 189671 8337 136 1.66 1.89 11140.48 211.00 1 in 90
New York 410450 753 0.18 14578 32596 2 0.01 7.94 21098.96 1675.58 1 in 47
Florida 402312 12444 3.19 223718 5653 135 2.45 1.41 18731.58 263.20 1 in 53
Texas 380364 7327 1.96 194773 4790 168 3.63 1.26 13117.86 165.20 1 in 76
New Jersey 178345 458 0.26 5603 15765 35 0.22 8.84 20078.94 1774.90 1 in 50
Illinois 169696 1600 0.95 23946 7577 17 0.22 4.47 13391.60 597.94 1 in 75
Georgia 161420 4813 3.07 70927 3443 82 2.44 2.13 15203.31 324.28 1 in 66
Arizona 156301 3357 2.19 64429 3143 80 2.61 2.01 20525.70 412.74 1 in 49
Massachusetts 114985 338 0.29 5357 8498 14 0.17 7.39 16545.79 1222.82 1 in 60
Pennsylvania 110292 1255 1.15 16900 7116 23 0.32 6.45 8615.22 555.85 1 in 116
North Carolina 109728 2603 2.43 39466 1789 33 1.88 1.63 10462.16 170.57 1 in 96
Louisiana 103734 2084 2.05 40445 3715 141 3.95 3.58 22314.17 799.13 1 in 45
Tennessee 89078 2091 2.40 40366 938 13 1.41 1.05 13036.11 137.27 1 in 77
Michigan 85072 641 0.76 12897 6400 5 0.08 7.52 8518.40 640.84 1 in 117
Virginia 82364 1127 1.39 17971 2067 13 0.63 2.51 9649.56 242.16 1 in 104
Maryland 81766 930 1.15 12805 3422 13 0.38 4.19 13524.70 566.02 1 in 74
Ohio 81746 1560 1.95 26489 3297 41 1.26 4.03 6993.35 282.06 1 in 143
South Carolina 78607 2001 2.61 37075 1385 51 3.82 1.76 15267.31 269.00 1 in 65
Alabama 76005 1793 2.42 34140 1438 41 2.93 1.89 15501.15 293.28 1 in 65
Indiana 60598 996 1.67 13683 2884 4 0.14 4.76 9001.19 428.39 1 in 111
Washington 50824 815 1.63 16046 1495 13 0.88 2.94 6674.29 196.33 1 in 150
Mississippi 49585 1532 3.19 19901 1463 27 1.88 2.95 16660.79 491.57 1 in 60
Minnesota 49488 767 1.57 11864 1606 5 0.31 3.25 8775.04 284.77 1 in 114
Connecticut 48776 544 1.13 2059 4413 3 0.07 9.05 13680.81 1237.77 1 in 73
Wisconsin 46917 1018 2.22 16600 878 0 0.00 1.87 8057.97 150.80 1 in 124
Colorado 42962 667 1.58 9367 1790 4 0.22 4.17 7460.32 310.83 1 in 134
Iowa 41434 638 1.56 10971 826 6 0.73 1.99 13132.51 261.80 1 in 76
Nevada 40885 966 2.42 20167 722 13 1.83 1.77 13273.68 234.40 1 in 75
Missouri 39635 1575 4.14 16475 1195 6 0.50 3.02 6457.92 194.71 1 in 155
Arkansas 37249 990 2.73 14627 394 8 2.07 1.06 12343.00 130.56 1 in 81
Utah 36962 863 2.39 13096 273 6 2.25 0.74 11529.16 85.15 1 in 87
Oklahoma 29116 1147 4.10 14047 484 7 1.47 1.66 7358.15 122.32 1 in 136
Kentucky 25932 785 3.12 9556 691 7 1.02 2.66 5804.36 154.67 1 in 172
Kansas 24554 598 2.50 8895 330 8 2.48 1.34 8428.20 113.27 1 in 119
Nebraska 24174 356 1.49 4514 316 0 0.00 1.31 12496.85 163.36 1 in 80
New Mexico 18475 312 1.72 5699 601 5 0.84 3.25 8810.92 286.62 1 in 113
Rhode Island 18224 76 0.42 1233 1002 1 0.10 5.50 17202.82 945.85 1 in 58
Idaho 17265 528 3.15 10271 144 6 4.35 0.83 9634.14 80.35 1 in 104
Oregon 16104 391 2.49 6468 282 9 3.30 1.75 3818.16 66.86 1 in 262
Delaware 14202 278 2.00 2279 578 49 9.26 4.07 14584.64 593.57 1 in 69
Puerto Rico 13967 494 3.67 6284 191 3 1.60 1.37 4373.31 59.81 1 in 229
District of Columbia 11649 78 0.67 1214 581 0 0.00 4.99 16505.87 823.24 1 in 61
South Dakota 8200 57 0.70 1222 122 1 0.83 1.49 9269.11 137.91 1 in 108
New Hampshire 6375 57 0.90 518 407 2 0.49 6.38 4688.50 299.33 1 in 213
West Virginia 5653 201 3.69 2527 103 1 0.98 1.82 3163.14 57.63 1 in 316
North Dakota 5614 121 2.20 1892 99 2 2.06 1.76 7366.85 129.91 1 in 136
Maine 3757 20 0.54 384 118 0 0.00 3.14 2794.95 87.78 1 in 358
Montana 3038 129 4.43 1910 46 3 6.98 1.51 2842.50 43.04 1 in 352
Wyoming 2405 58 2.47 823 25 0 0.00 1.04 4155.44 43.20 1 in 241
Alaska 2249 56 2.55 1189 19 0 0.00 0.84 3074.32 25.97 1 in 325
Hawaii 1549 59 3.96 574 26 0 0.00 1.68 1094.03 18.36 1 in 914
Vermont 1385 8 0.58 149 56 0 0.00 4.04 2219.59 89.75 1 in 451

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 6915876 440185 6.36 2467700 189671 7.69 175031.31
2 New York 5444845 410450 7.54 1336860 14578 1.09 279889.37
3 Florida 3276636 402312 12.28 1195276 223718 18.72 152559.65
4 Texas 3231931 380364 11.77 1218025 194773 15.99 111461.73
5 New Jersey 1887644 178345 9.45 402143 5603 1.39 212520.11
6 Illinois 2433765 169696 6.97 732008 23946 3.27 192061.19
7 Georgia 1382444 161420 11.68 481227 70927 14.74 130205.23
8 Arizona 836817 156301 18.68 258436 64429 24.93 109892.15
9 Massachusetts 1086252 114985 10.59 208472 5357 2.57 156306.43
10 Pennsylvania 1104948 110292 9.98 300804 16900 5.62 86310.65
11 North Carolina 1550297 109728 7.08 551004 39466 7.16 147815.08
12 Louisiana 1199726 103734 8.65 415584 40445 9.73 258072.52
13 Tennessee 1322613 89078 6.74 460124 40366 8.77 193557.64
14 Michigan 1614646 85072 5.27 506381 12897 2.55 161677.09
15 Virginia 990299 82364 8.32 301939 17971 5.95 116020.95
16 Maryland 804350 81766 10.17 240516 12805 5.32 133045.41
17 Ohio 1267628 81746 6.45 439471 26489 6.03 108445.30
18 South Carolina 629372 78607 12.49 220340 37075 16.83 122238.68
19 Alabama 628984 76005 12.08 198353 34140 17.21 128280.70
20 Indiana 678749 60598 8.93 174596 13683 7.84 100820.99
21 Washington 870763 50824 5.84 285774 16046 5.61 114350.00
22 Mississippi 411480 49585 12.05 112441 19901 17.70 138259.21
23 Minnesota 922876 49488 5.36 277704 11864 4.27 163641.17
24 Connecticut 713072 48776 6.84 213403 2059 0.96 200004.10
25 Wisconsin 846007 46917 5.55 239023 16600 6.94 145301.26
26 Colorado 470877 42962 9.12 130587 9367 7.17 81767.42
27 Iowa 441873 41434 9.38 120412 10971 9.11 140051.73
28 Nevada 421871 40885 9.69 128186 20167 15.73 136964.17
29 Missouri 612615 39635 6.47 207656 16475 7.93 99816.24
30 Arkansas 461464 37249 8.07 130227 14627 11.23 152912.78
31 Utah 494071 36962 7.48 137435 13096 9.53 154110.25
32 Oklahoma 523042 29116 5.57 159188 14047 8.82 132182.42
33 Kentucky 533476 25932 4.86 137829 9556 6.93 119408.02
34 Kansas 277967 24554 8.83 86406 8895 10.29 95412.65
35 Nebraska 249074 24174 9.71 64940 4514 6.95 128759.81
36 New Mexico 496985 18475 3.72 140348 5699 4.06 237017.42
37 Rhode Island 190028 18224 9.59 -60926 1233 -2.02 179379.83
38 Idaho 160193 17265 10.78 61484 10271 16.71 89390.17
39 Oregon 366567 16104 4.39 115513 6468 5.60 86910.82
40 Delaware 164326 14202 8.64 45983 2279 4.96 168753.41
42 District of Columbia 165260 11649 7.05 62451 1214 1.94 234162.57
43 South Dakota 103490 8200 7.92 20497 1222 5.96 116982.93
44 New Hampshire 149792 6375 4.26 27605 518 1.88 110164.59
45 West Virginia 253173 5653 2.23 72471 2527 3.49 141663.22
46 North Dakota 142708 5614 3.93 32134 1892 5.89 187265.60
47 Maine 150620 3757 2.49 47171 384 0.81 112050.78
48 Montana 149200 3038 2.04 51697 1910 3.69 139598.68
49 Wyoming 48228 2405 4.99 12953 823 6.35 83330.02
50 Alaska 200572 2249 1.12 80364 1189 1.48 274175.89
51 Hawaii 111291 1549 1.39 29673 574 1.93 78602.44
52 Vermont 87692 1385 1.58 19297 149 0.77 140534.53

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 366368 9251 2.59 207194 56.55 145481 13389 257 1.96 3.65
Tamil Nadu 206737 6988 3.50 151055 73.07 52273 3409 89 2.68 1.65
Delhi 129531 1142 0.89 113068 87.29 12657 3806 29 0.77 2.94
Karnataka 90942 5072 5.91 33750 37.11 55385 1798 72 4.17 1.98
Andhra Pradesh 88671 7813 9.66 43255 48.78 44431 985 52 5.57 1.11
Uttar Pradesh 63742 2971 4.89 39903 62.60 22452 1387 39 2.89 2.18
West Bengal 56377 2404 4.45 35654 63.24 19391 1332 42 3.26 2.36
Gujarat 54712 1081 2.02 39714 72.59 12697 2301 19 0.83 4.21
Telangana 52466 0 0.00 40334 76.88 11677 455 0 0.00 0.87
Bihar 36314 2803 8.36 24520 67.52 11561 232 11 4.98 0.64
Rajasthan 35298 1120 3.28 25306 71.69 9379 613 11 1.83 1.74
Assam 31087 1165 3.89 23056 74.17 7951 77 1 1.32 0.25
Haryana 30538 783 2.63 23654 77.46 6495 389 7 1.83 1.27
Madhya Pradesh 26926 716 2.73 18488 68.66 7639 799 8 1.01 2.97
Odisha 24013 1320 5.82 15929 66.33 7921 163 10 6.54 0.68
Kerala 18099 1103 6.49 8611 47.58 9420 60 5 9.09 0.33
Jammu and Kashmir 17305 523 3.12 9517 55.00 7483 305 9 3.04 1.76
Punjab 12684 468 3.83 8297 65.41 4096 291 9 3.19 2.29
Jharkhand 7841 277 3.66 3521 44.90 4237 83 7 9.21 1.06
Chhattisgarh 7182 363 5.32 4683 65.20 2460 39 3 8.33 0.54
Uttarakhand 5961 244 4.27 3495 58.63 2365 63 1 1.61 1.06
Goa 4686 146 3.22 3047 65.02 1606 33 4 13.79 0.70
Tripura 3882 99 2.62 2210 56.93 1643 11 1 10.00 0.28
Puducherry 2654 139 5.53 1561 58.82 1055 38 3 8.57 1.43
Manipur 2176 30 1.40 1520 69.85 656 0 0 NaN 0.00
Himachal Pradesh 2049 95 4.86 1173 57.25 849 12 0 0.00 0.59
Nagaland 1289 50 4.04 541 41.97 748 0 0 NaN 0.00
Ladakh 1276 30 2.41 1057 82.84 216 3 1 50.00 0.24
Arunachal Pradesh 1126 70 6.63 428 38.01 695 3 0 0.00 0.27
Dadra and Nagar Haveli and Daman and Diu 901 37 4.28 544 60.38 345 2 0 0.00 0.22
Chandigarh 852 29 3.52 555 65.14 284 13 0 0.00 1.53
Meghalaya 646 58 9.86 94 14.55 547 5 0 0.00 0.77
Sikkim 512 22 4.49 142 27.73 357 0 0 NaN 0.00
Mizoram 361 29 8.73 183 50.69 178 0 0 NaN 0.00
Andaman and Nicobar Islands 290 31 11.97 176 60.69 113 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1242775 95768 53 0.06 7.71 144 17 6759 16801 17.54
Piemonte 481626 31578 11 0.03 6.56 147 5 776 4123 13.06
Emilia-Romagna 603288 29413 63 0.21 4.88 79 4 1372 4283 14.56
Veneto 1161454 19759 30 0.15 1.70 30 2 685 2063 10.44
Toscana 404349 10405 11 0.11 2.57 14 0 335 1131 10.87
Liguria 178615 10144 5 0.05 5.68 26 0 198 1566 15.44
Lazio 399130 8516 18 0.21 2.13 184 9 916 857 10.06
Marche 160592 6816 1 0.01 4.24 2 1 132 987 14.48
P.A. Trento 145952 4957 16 0.32 3.40 2 0 87 405 8.17
Campania 319860 4880 6 0.12 1.53 17 2 332 434 8.89
Puglia 225690 4578 13 0.28 2.03 11 0 67 549 11.99
Friuli Venezia Giulia 237371 3368 5 0.15 1.42 9 2 98 345 10.24
Abruzzo 123200 3356 4 0.12 2.72 11 2 113 470 14.00
Sicilia 259946 3166 8 0.25 1.22 11 2 170 283 8.94
P.A. Bolzano 99351 2687 1 0.04 2.70 6 0 83 292 10.87
Umbria 115741 1465 2 0.14 1.27 7 0 19 80 5.46
Sardegna 101985 1385 3 0.22 1.36 7 0 16 134 9.68
Calabria 114770 1246 1 0.08 1.09 3 0 78 97 7.78
Valle d’Aosta 20745 1196 0 0.00 5.77 1 0 1 146 12.21
Molise 26589 460 1 0.22 1.73 0 0 18 23 5.00
Basilicata 45346 447 0 0.00 0.99 2 0 46 28 6.26

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58243 163 0.28 5663 1 0.02 9.72 6821.88 663.30 1 in 147
Ontario 40341 405 1.01 2800 1 0.04 6.94 2742.08 190.32 1 in 365
Alberta 10086 111 1.11 178 2 1.14 1.76 2285.44 40.33 1 in 438
British Columbia 3392 0 0.00 190 0 0.00 5.60 663.68 37.18 1 in 1507
Saskatchewan 1099 27 2.52 16 0 0.00 1.46 930.04 13.54 1 in 1075
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 384 9 2.40 7 0 0.00 1.82 278.76 5.08 1 in 3587
Newfoundland and Labrador 265 1 0.38 3 0 0.00 1.13 508.28 5.75 1 in 1967
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 1 7.69 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2372 16 0.67
Guangdong 1669 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 798 7 0.88
Shanghai 741 7 0.94
Jiangsu 655 0 0.00
Sichuan 603 3 0.50
Chongqing 583 6 1.03
Fujian 364 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Guangxi 255 2 0.78
Inner Mongolia 251 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Xinjiang 191 3 1.57
Yunnan 189 2 1.06
Liaoning 176 2 1.14
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 155 2 1.29
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 12568.86 444.82 1 in 80
Brazil 11196.21 407.25 1 in 89
India 998.52 23.42 1 in 1001
Russia 5532.87 90.15 1 in 181
South Africa 7439.99 111.83 1 in 134
Mexico 2927.90 330.07 1 in 342
Peru 11686.70 554.65 1 in 86
Chile 18908.81 493.85 1 in 53
United Kingdom 4507.83 688.77 1 in 222
Iran 3530.35 188.38 1 in 283
Spain 5838.43 609.34 1 in 171
Pakistan 1380.14 29.38 1 in 725
Saudi Arabia 7977.29 81.12 1 in 125
Italy 4060.68 580.31 1 in 246
Colombia 4759.34 162.52 1 in 210
Turkey 2775.05 69.05 1 in 360
Bangladesh NA NA 1 in NA
France 3251.19 450.74 1 in 308
Germany 2483.67 110.16 1 in 403
Argentina 3467.81 63.41 1 in 288

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 223192 23465 10.51
Los Angeles California 168935 4300 2.55
Maricopa Arizona 104613 1718 1.64
Cook Illinois 101411 4822 4.75
Miami-Dade Florida 98430 1370 1.39
Harris Texas 62612 615 0.98
Broward Florida 46576 546 1.17
Dallas Texas 44087 579 1.31
Nassau New York 42860 2193 5.12
Suffolk New York 42773 1995 4.66
Westchester New York 35700 1443 4.04
Clark Nevada 35000 592 1.69
Bexar Texas 34932 313 0.90
Riverside California 33467 637 1.90
Orange California 33358 556 1.67
Philadelphia Pennsylvania 29303 1676 5.72
Palm Beach Florida 29004 744 2.57
San Bernardino California 26796 372 1.39
San Diego California 26098 524 2.01
Hillsborough Florida 26037 280 1.08
Orange Florida 25952 164 0.63
Wayne Michigan 25770 2789 10.82
Middlesex Massachusetts 25190 1954 7.76
Tarrant Texas 24562 329 1.34
Prince George’s Maryland 21210 726 3.42
Suffolk Massachusetts 20793 1044 5.02
Bergen New Jersey 20162 2041 10.12
Hudson New Jersey 19313 1495 7.74
Essex New Jersey 19228 2098 10.91
Travis Texas 18939 229 1.21
Duval Florida 18781 122 0.65
Mecklenburg North Carolina 18703 187 1.00
Shelby Tennessee 17693 263 1.49
Salt Lake Utah 17686 156 0.88
Milwaukee Wisconsin 17537 422 2.41
Middlesex New Jersey 17476 1398 8.00
Fairfield Connecticut 17421 1402 8.05
Passaic New Jersey 17237 1241 7.20
Davidson Tennessee 17180 179 1.04
Essex Massachusetts 16883 1159 6.86
Montgomery Maryland 16768 782 4.66
Union New Jersey 16321 1345 8.24
Hennepin Minnesota 15810 805 5.09
Franklin Ohio 15301 487 3.18
Fairfax Virginia 15231 513 3.37
Fulton Georgia 15221 365 2.40
Gwinnett Georgia 14801 213 1.44
Pinellas Florida 14726 367 2.49
Hidalgo Texas 14589 433 2.97
Pima Arizona 14428 409 2.83
Lee Florida 14046 252 1.79
Providence Rhode Island 14033 0 0.00
King Washington 14026 643 4.58
Rockland New York 13830 673 4.87
Oakland Michigan 13782 1125 8.16
Out of GA Georgia 13669 74 0.54
Marion Indiana 13409 711 5.30
Kern California 13360 123 0.92
Jefferson Louisiana 13128 507 3.86
Worcester Massachusetts 13019 977 7.50
New Haven Connecticut 12884 1095 8.50
El Paso Texas 12750 218 1.71
Hartford Connecticut 12340 1408 11.41
Fresno California 12148 112 0.92
District of Columbia District of Columbia 11649 581 4.99
Cuyahoga Ohio 11404 450 3.95
Lake Illinois 11260 438 3.89
Orange New York 10976 489 4.46
Polk Florida 10909 215 1.97
DeKalb Georgia 10767 204 1.89
DuPage Illinois 10701 506 4.73
Baltimore Maryland 10520 521 4.95
Charleston South Carolina 10355 120 1.16
St. Louis Missouri 10319 627 6.08
Alameda California 10214 178 1.74
Nueces Texas 10136 129 1.27
San Joaquin California 10126 110 1.09
Ocean New Jersey 10116 1014 10.02
Baltimore City Maryland 10001 395 3.95
Yuma Arizona 9930 210 2.11
Norfolk Massachusetts 9895 975 9.85
Jefferson Alabama 9809 197 2.01
Monmouth New Jersey 9791 854 8.72
Orleans Louisiana 9752 548 5.62
Cobb Georgia 9717 282 2.90
Wake North Carolina 9630 104 1.08
Yakima Washington 9461 196 2.07
East Baton Rouge Louisiana 9393 306 3.26
Montgomery Pennsylvania 9385 844 8.99
Douglas Nebraska 9381 120 1.28
Greenville South Carolina 9135 151 1.65
Imperial California 8967 173 1.93
Plymouth Massachusetts 8956 701 7.83
Denver Colorado 8939 403 4.51
Polk Iowa 8906 191 2.14
Bristol Massachusetts 8816 616 6.99
Macomb Michigan 8752 936 10.69
Santa Clara California 8719 183 2.10
Kane Illinois 8613 294 3.41
Collier Florida 8601 117 1.36

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc